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parameter estimation

Papers

Showing 10511100 of 1719 papers

TitleStatusHype
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System0
Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar0
New Algorithms for Discrete-Time Parameter Estimation0
Transmit Beamspace DDMA Based Automotive MIMO Radar0
Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training SamplesCode0
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX0
On the Role of Asymptomatic Carriers in Epidemic Spread Processes0
In-Field Gyroscope Autocalibration with Iterative Attitude Estimation0
Joint RFI Mitigation and Radar Echo Recovery for One-Bit UWB Radar0
Rapid parameter estimation of discrete decaying signals using autoencoder networks0
A Probabilistic Bayesian Approach to Recover R_2^* map and Phase Images for Quantitative Susceptibility Mapping0
State and parameter estimation for model-based retinal laser treatment0
Deep Learning-based Automated Aortic Area and Distensibility Assessment: The Multi-Ethnic Study of Atherosclerosis (MESA)0
Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings0
Slowly Varying Regression under SparsityCode0
Escaping Poor Local Minima in Large Scale Robust Estimation0
A Simple Unified Framework for High Dimensional Bandit Problems0
Identification of Phase-Locked Loop System From Its Experimental Time Series0
The MELODIC family for simultaneous binary logistic regression in a reduced spaceCode0
Multiple-shooting adjoint method for whole-brain dynamic causal modeling0
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems0
ICI-Aware Parameter Estimation for MIMO-OFDM Radar via APES Spatial Filtering0
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm0
Vine copula mixture models and clustering for non-Gaussian dataCode0
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problemsCode0
Variational Bayes survival analysis for unemployment modelling0
Object and Relation Centric Representations for Push Effect Prediction0
Introduction to population dynamics and resource exploitation0
Blind Reconstruction of Multilayered Tissue Profiles with UWB Radar Under Bayesian Setting0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
Sparse Array Beamformer Design for Active and Passive Sensing0
Should Ensemble Members Be Calibrated?0
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals0
Detecting seasonal episodic-like spatiotemporal memory patterns using animal movement modelling0
Learning from Satisfying Assignments Using Risk Minimization0
A Stochastic Lomax Diffusion Process: Statistical Inference and ApplicationCode0
Single-preparation unsupervised quantum machine learning: concepts and applications0
Using MMD GANs to correct physics models and improve Bayesian parameter estimation0
Objects As Cameras: Estimating High-Frequency Illumination From Shadows0
Universal Adaptive Control of Nonlinear Systems0
Fast covariance parameter estimation of spatial Gaussian process models using neural networksCode0
Minimum Excess Risk in Bayesian Learning0
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations0
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals0
Forward-backward kernel-based state and parameter estimation for linear systems of arbitrary order0
Robust Factorization Methods Using a Gaussian/Uniform Mixture Model0
Variational State and Parameter Estimation0
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models0
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODECode0
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference0
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